VAGLBUS Project
LIMRA asked the students to build a model to predict variable annuity cancellations, based on a large data set with dozens of variables. In parallel with our internal efforts, the students adeptly explored the data, built models, developed theories, and presented their recommendations. We used their results to confirm our findings, and their fresh perspective even gave us some new ideas. We ar
e planning to publish our findings this year, in no small part due to the students’ contributions.
Buyer / Non-Buyer Project
LIMRA asked the students to build a model to predict who was likely to buy individual life insurance, based on a consumer survey. Despite having a limited amount of data, the students were able to identify several personal characteristics and life events that make someone more likely to buy. Their work has helped us develop profiles of types of customers who are most likely to buy, which we are planning to publish this year.